The Impact of Artificial Intelligence (AI) on Healthcare
Introduction
Artificial intelligence has led to many new advances in healthcare, which have contributed to more accurate and quality results in the diagnosis and monitoring of illnesses. It is used in physicians’ offices, hospitals, long-term care facilities, and even in homes. Additionally, AI has been utilized in surgical procedures, patient monitoring, and self-monitoring of vital signs. This paper explores the impact of AI on existing healthcare systems and the relevance of the Quadruple Aim.
Impact on Existing Systems
Healthcare systems are constantly evolving to incorporate technology, such as the use of novel technologies, new medical procedures, and the introduction of new services, among others. Long-term care facilities have utilized AI for electronic records and basic patient care monitoring, such as vital signs. Electronic equipment is used to dispense IV fluids or enteral feedings. The mechanism controls the rate, amount, and time the fluids are dispensed, maintaining a record of daily total intake. The use of telehealth in long-term care has also increased due to the COVID-19 pandemic. Before the pandemic, telehealth was available but not readily used. However, when the pandemic led to restrictions on physical visits, telehealth became the primary method of consultation for some physicians. Post-COVID, physicians can now enter facilities, but telehealth is still used for after-hours calls and assessments. Telehealth is also utilized for specialist consultations when patients cannot attend offsite appointments, and physicians cannot come to the facility. Electronic charting and medical records have also been implemented in long-term care facilities to identify and sort “high alert” or deviations in patients’ records, such as vitals, weight loss, lack of bowel movement, or other pertinent information that may require early interventions.
Impact of Quadruple Aim
The impact of AI on healthcare is relevant to all of the IHI Quadruple Aim goals. The Triple Aim Goals, which aimed to improve the overall experience of patients, focused on enhancing the patient experience of care, improving the health of populations, and reducing the per capita cost of healthcare. However, concerns arose about the impact of stressors on clinicians and staff. As a result, the Quadruple Aim was introduced to improve the work life of healthcare clinicians and staff, in addition to achieving the Triple Aim. Although electronic documentation may not prevent stressors, it can help reduce workload and improve efficiency. The use of AI can also lead to increased patient satisfaction, better healthcare outcomes, and reduced costs.
Conclusion
The use of AI in healthcare has revolutionized patient care, leading to more accurate diagnoses, patient monitoring, and self-monitoring of vital signs. It has also helped improve the overall experience of patients and clinicians by reducing workload, increasing efficiency, and improving the quality of care. As the use of AI in healthcare continues to expand, it is crucial to ensure that it is used effectively and ethically, while also addressing concerns related to privacy, security, and potential bias.
References
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